A sparrow search algorithm based hybrid meta-heuristic algorithm for population growth rate prediction by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl Farrokhi-Asl, Ghazal Ghasemi

“…A set of 18 economic indicators serves as input variables, and a Genetic Algorithm (GA) is used for feature selection. The data used for analysis spans the most recent ten years and is presented on a monthly basis. …”
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Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment by Guangcan Xu, Maozeng Xu, Yong Wang, Yong Liu, Qiguang Lv

“…The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. …”
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Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method by Fayuan Zhu, Zhaohui Wang, Mi Lv

“…Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. …”
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Tribological Behavior and Analysis on Surface Roughness of CNC Milled Dual Heat Treated Al6061 Composites by A. Bovas Herbert Bejaxhin, G.M. Balamurugan, S.M. Sivagami, K. Ramkumar, V. Vijayan, S. Rajkumar

“…The influencing factors are identified by the Taguchi, genetic algorithm (GA), and Artificial Neural Network (ANN) techniques and compared within it. …”
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Application of Harmony Search to Design Storm Estimation from Probability Distribution Models by Sukmin Yoon, Changsam Jeong, Taesam Lee

“…The HS is compared to the genetic algorithm (GA) and ML via simulation and case study. …”
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Dislocation density-based simulation of pre-mixed jet effects on residual stress and cell size in 18CrNiMo7-6 alloy steel by MingHao Zhao, HaiYang Hou, FeiHu Ren, Chunsheng Lu, JianWei Zhang, BingBing Wang

“…The model employs a dislocation density-based constitutive relationship, with parameters optimized via a genetic algorithm. A fully coupled stress integration algorithm ensures the numerical stability. …”
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Optimization of Job Scheduling in the Cloud Computing Environment Using the Fuzzy Particle Swarm Optimization Algorithm by Shabnam Gharaeian, Khosrow Amirizadeh

“…Results show that the suggested optimization method can effectively improve criteria like makespan once compared with results of algorithms without optimization, like Ron-robin, and even in comparison to other optimization algorithms, like genetic algorithm.…”
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Firefly Optimization Algorithm for the Prediction of Uplift due to High-Pressure Jet Grouting by Wukui Dai, Li Liang, Bingji Zhang

“…As a result of the global optimization capacity and by comparison with the genetic algorithm, the FOA has a greater advantage in terms of effectiveness and precision. …”
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Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks by Jing Zuo, Jianwu Dang, Min Lyu

“…Compared with the genetic algorithm, the simulation shows that the approach can solve the optimal cost allocation problem to more effectively reduce the risks of large-scale HSRNs in practice.…”
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Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering by Jun Gang, Jiuping Xu, Yinfeng Xu

“…To search for the optimal solution of the bilevel model, a hybrid algorithm made up of an adaptive particle swarm optimization, an adaptive hybrid genetic algorithm, and a fuzzy random simulation algorithm is also proposed. …”
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis by Zhicheng Qiao, Yongqiang Liu, Yingying Liao

“…The crucial parameter penalty factor C and kernel parameter g of SVM are optimized by quantum genetic algorithm (QGA). Compared with traditional EWT and variational mode decomposition (VMD) methods, the effectiveness and advantages of this method are demonstrated in this study. …”
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An Improved Strategy for Genetic Evolutionary Structural Optimization by Nannan Cui, Shiping Huang, Xiaoyan Ding

“…Genetic evolutionary structural optimization (GESO) method is an integration of the genetic algorithm (GA) and evolutionary structural optimization (ESO). …”
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Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network by Kazuhiko Hiramoto, Taichi Matsuoka, Katsuaki Sunakoda

“…Parameters such as weight and bias in the ANN are optimized by the genetic algorithm (GA). The proposed design method is applied to semiactive control design of a base-isolated building with a semiactive damper. …”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…The proposed TANN model applies the stud genetic algorithm to automatically select meta-paths at first. …”
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Optimization Modeling and Empirical Research on Gasoline Octane Loss Based on Data Analysis by Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu

“…Firstly, the data are screened and the high-dimensional data are reduced to construct the neural network prediction model optimized by genetic algorithm. After utilizing the model for prediction, the optimal operating condition is achieved. …”
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Optimal design and operation of a wind farm/battery energy storage considering demand side management by Siyu Tao, Chaohai Zhang, Andrés E. Feijóo‐Lorenzo, Victor Kim

“…The MOOP model in the second level is transformed to a single‐objective optimization problem via the maximum fuzzy satisfaction method, and is then solved by the genetic algorithm. The proposed model and the strategy are verified by the Barrow offshore WF test case, which is integrated into the IEEE‐118 system. …”
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Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting by Hai Tao, Ali Omran Al-Sulttani, Ameen Mohammed Salih Ameen, Zainab Hasan Ali, Nadhir Al-Ansari, Sinan Q. Salih, Reham R. Mostafa

“…The results revealed the potential of the hybridized support vector regression model with a genetic algorithm (SVR-GA) over the other ML forecasting models for monthly river flow forecasting using 90%–10% data division. …”
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Effect of International Technology Transfer on the Technical Efficiency of High-Tech Manufacturing in China: A RAGA-PP-SFA Analysis by Shuzhen Zhou, Qunzhao Deng, Feng Peng

“…By integrating stochastic frontier analysis (SFA) and projection pursuit (PP) based on the real-coded accelerated genetic algorithm (RAGA), this study constructed a RAGA-PP-SFA model that considers undesirable outputs. …”
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An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain by Lin Wang, Hui Qu, Tao Chen, Fang-Ping Yan

“…To verify the effectiveness of the HSDE, two intelligent algorithms that have been proven to be effective algorithms for the similar problems named genetic algorithm (GA) and hybrid DE (HDE) are chosen to compare with it. …”
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A Fast Optimization Method for Reliability and Performance of Cloud Services Composition Application by Zhao Wu, Naixue Xiong, Yannong Huang, Qiong Gu, Chunyang Hu, Zhongbo Wu, Bo Hang

“…To overcome these defects, we propose a fast optimization method for reliability and performance of cloud services composition application based on universal generating function and genetic algorithm in this paper. At first, a reliability and performance model for cloud service composition application based on the multiple state system theory is presented. …”
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